Paper Citation Record · LEDGER

Rethinking the ill-posedness of the spectral function reconstruction -- why is it fundamentally hard and how Artificial Neural Networks can help

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2201.02564.

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pith.paper-citation-record.v1
2201.02564 v2

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:24:20.697957Z

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A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T10:20:50.023954Z

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Pith citing papers

Observation 58652eda-dcc8-47ab-bf32-3a0543b6675b · inbound

Toward inclusive observables with staggered quarks: the smeared $R$~ratio cites this paper.

Toward inclusive observables with staggered quarks: the smeared $R$~ratio Rethinking the ill-posedness of the spectral function reconstruction -- why is it fundamentally hard and how Artificial Neural Networks can help

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T15:24:20.697957Z

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Observation e4e2fb6b-5f85-462a-83de-9febfa823cd5 · inbound

Learning Hadron Emitting Sources with Deep Neural Networks cites this paper.

Learning Hadron Emitting Sources with Deep Neural Networks Rethinking the ill-posedness of the spectral function reconstruction -- why is it fundamentally hard and how Artificial Neural Networks can help

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T13:20:12.291321Z

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Observation 92c9c3d4-b1eb-452a-bda7-acb81984b08b · inbound

Deep learning for exploring hadron-hadron interactions cites this paper.

Deep learning for exploring hadron-hadron interactions Rethinking the ill-posedness of the spectral function reconstruction -- why is it fundamentally hard and how Artificial Neural Networks can help

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:49.845087Z

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Observation d618992a-b70e-4d64-9b0f-ba3757ea7e26 · inbound

Towards constraining QCD phase transitions in neutron star interiors: Bayesian Inference with TOV linear response analysis cites this paper.

Towards constraining QCD phase transitions in neutron star interiors: Bayesian Inference with TOV linear response analysis Rethinking the ill-posedness of the spectral function reconstruction -- why is it fundamentally hard and how Artificial Neural Networks can help

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:08.784703Z

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Observation a374dcb7-b59f-4bbe-ba25-05d5b274bd07 · inbound

Nucleon axial-vector form factor and radius from radiatively-corrected antineutrino scattering data cites this paper.

Nucleon axial-vector form factor and radius from radiatively-corrected antineutrino scattering data Rethinking the ill-posedness of the spectral function reconstruction -- why is it fundamentally hard and how Artificial Neural Networks can help

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:20:50.025605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.